{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T02:49:26Z","timestamp":1764211766650,"version":"build-2065373602"},"reference-count":47,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2012,2,3]],"date-time":"2012-02-03T00:00:00Z","timestamp":1328227200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The devastating series of fire events that occurred during the summers of 2007 and 2009 in Greece made evident the need for an operational mechanism to map burned areas in an accurate and timely fashion to be developed. In this work, Syst\u00e8me pour l\u2019Observation de la Terre (SPOT)-4 HRVIR images are introduced in an object-based classification environment in order to develop a classification procedure for burned area mapping. The development of the procedure was based on two images and then tested for its transferability to other burned areas. Results from the SPOT-4 HRVIR burned area mapping showed very high classification accuracies ( 0.86 kappa coefficient), while the object-based classification procedure that was developed proved to be transferable when applied to other study areas.<\/jats:p>","DOI":"10.3390\/rs4020424","type":"journal-article","created":{"date-parts":[[2012,2,3]],"date-time":"2012-02-03T11:08:57Z","timestamp":1328267337000},"page":"424-438","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Burned Area Mapping in Greece Using SPOT-4 HRVIR Images and Object-Based Image Analysis"],"prefix":"10.3390","volume":"4","author":[{"given":"Anastasia","family":"Polychronaki","sequence":"first","affiliation":[{"name":"Laboratory of Forest Management and Remote Sensing, Aristotle University of Thessaloniki, P.O. Box 248, GR 54124 Thessaloniki, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0056-5629","authenticated-orcid":false,"given":"Ioannis Z.","family":"Gitas","sequence":"additional","affiliation":[{"name":"Laboratory of Forest Management and Remote Sensing, Aristotle University of Thessaloniki, P.O. Box 248, GR 54124 Thessaloniki, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2012,2,3]]},"reference":[{"key":"ref_1","first-page":"397","article-title":"Comparison of AVIRIS and Landsat ETM+ Detection Capabilities for Burn Severity","volume":"92","author":"Root","year":"2004","journal-title":"Int. J. Wildland Fire"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/S0034-4257(98)00018-2","article-title":"Mapping fire-induced vegetation mortality using Landsat Thematic Mapper Data: A comparison of linear transformation techniques","volume":"65","author":"Patterson","year":"1998","journal-title":"Remote Sens. 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